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Quantum Information Processing
Published in: Quantum Information Processing 9/2017

01-09-2017

Quantum watermarking scheme through Arnold scrambling and LSB steganography

Authors: Ri-Gui Zhou, Wenwen Hu, Ping Fan

Published in: Quantum Information Processing | Issue 9/2017

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Abstract

Based on the NEQR of quantum images, a new quantum gray-scale image watermarking scheme is proposed through Arnold scrambling and least significant bit (LSB) steganography. The sizes of the carrier image and the watermark image are assumed to be \(2n\times 2n\) and \(n\times n\), respectively. Firstly, a classical \(n\times n\) sized watermark image with 8-bit gray scale is expanded to a \(2n\times 2n\) sized image with 2-bit gray scale. Secondly, through the module of PA-MOD N, the expanded watermark image is scrambled to a meaningless image by the Arnold transform. Then, the expanded scrambled image is embedded into the carrier image by the steganography method of LSB. Finally, the time complexity analysis is given. The simulation experiment results show that our quantum circuit has lower time complexity, and the proposed watermarking scheme is superior to others.
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Literature
1.
2.
3.
Shor, P.: Algorithms for quantum computation: discrete logarithms and factoring. In: Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 124–134 (1994)
4.
Grover, L.A.: fast quantum mechanical algorithm for database search. In: Proceedings of the 28th Annual ACM Symposium on Theory of Computing, 212–219 (1996)
5.
Venegas-Andraca, S., Bose, S.: Storing, processing, and retrieving an image using quantum mechanics.In: Proceedings of SPIE Conference of Quantum Information and Computation, 5105, 134–147 (2003)
6.
7.
Le, P., Dong, F., Hirota, K.: A flexible representation of quantum images for polynomial preparation, image compression, and processing operations. Quant. Inf. Process. 10(1), 63–84 (2011)MathSciNetCrossRefMATH
8.
Zhang, Y., Lu, K., Gao, Y., et al.: NEQR: a novel enhanced quantum representation of digital images. Quant. Inf. Process. 12(8), 2833–2860 (2013)MathSciNetCrossRefADSMATH
9.
10.
Li, H., Zhu, Q., Lan, S., Shen, C., Zhou, R., Mo, J.: Image storage, retrieval, compression and segmentation in a quantum system. Quant. Inf. Process. 12(6), 2269–2290 (2013)MathSciNetCrossRefADSMATH
11.
Li, H., Zhu, Q., Zhou, R., Song, L., Yang, X.: Multi-dimensional color image storage and retrieval for a normal arbitrary quantum superposition state. Quant. Inf. Process. 13(4), 991–1011 (2014)MathSciNetCrossRefADSMATH
12.
Yuan, S., Mao, X., Xue, Y., Chen, L., Xiong, Q., Compare, A.: SQR: a simple quantum representation of infrared images. Quant. Inf. Process. 13(6), 1353–1379 (2014)MathSciNetCrossRefADSMATH
13.
14.
Iliyasu, A.: Towards realising secure and efficient image and video processing applications on quantum computers. Entropy 15, 2874–2974 (2013)MathSciNetCrossRefADSMATH
15.
16.
Yan, F.: Quantum Computation Based Image Data Searching, Image Watermarking, and representation of Emotion Space. Ph.D. Thesis, Tokyo Institute of Technology, Japan (2014)
17.
Yan, F., Iliyasu, A., Jiang, Z.: Quantum computation-based image representation, processing operations and their applications. Entropy 16(10), 5290–5338 (2014)MathSciNetCrossRefADS
18.
Le, P.Q., Iliyasu, A.M., Dong, F., et al.: Strategies for designing geometric transformations on quantum images. Theor. Comput. Sci. 412(15), 1406–1418 (2011)MathSciNetCrossRefMATH
19.
Fan, P., Zhou, R.G., Jing, N., et al.: Geometric transformations of multidimensional color images based on NASS. Inf. Sci. S 340–341, 191–208 (2016)CrossRef
20.
Le, P.Q., Iliyasu, A.M., Dong, F., et al.: Fast geometric transformations on quantum images. Iaeng Int. J. Appl. Math. 40(3), 113–123 (2010)MathSciNetMATH
21.
Le, P.Q., Iliyasu, A.M., Dong, F., et al.: Efficient color transformations on quantum images. J. Adv. Comput. Intell. Intell. Inf. 15(6), 698–706 (2011)CrossRef
22.
Fan, P., Zhou, Rigui: Quantum gray-scale image translation transform. J. Comput. Inf. Syst. 11(23), 8763–8770 (2015)
23.
24.
Zhou, R.G., Tan, C., Hou, I.: Global and local translation designs of quantum image based on FRQI. Int. J. Theor. Phys. 56(4), 1382–1398 (2017)MathSciNetCrossRef
25.
Sang, J., Wang, S., Niu, X.: Quantum realization of the nearest-neighbor interpolation method for FRQI and NEQR. Quant. Inf. Process. 15(1), 37–64 (2016)MathSciNetCrossRefADSMATH
26.
27.
Jiang, N., Wang, J., Mu, Y.: Quantum image scaling up based on nearest-neighbor interpolation with integer scaling ratio. Quant. Inf. Process. 14(11), 4001–4026 (2015)MathSciNetCrossRefADSMATH
28.
Jiang, N., Wu, W.Y., Wang, L.: The quantum realization of Arnold and Fibonacci image scrambling. Quant. Inf. Process. 13(5), 1223–1236 (2014)MathSciNetCrossRefADSMATH
29.
30.
Jiang, N., Wang, L., Wu, W.Y.: Quantum Hilbert image scrambling. Int. J. Theor. Phys. 53(7), 2463–2484 (2014)CrossRefMATH
31.
32.
Sang, J., Wang, S., Shi, X., Li, Qiong: Quantum realization of Arnold scrambling for IFRQI. Int. J. Theor. Phys. 55(8), 3706–3721 (2016)MathSciNetCrossRefMATH
33.
34.
35.
Zhang, Y., Lu, K., Gao, Y.H.: QSobel: a novel quantum image edge extraction algorithm. Sci. China Inf. Sci. 58(1), 1–13 (2015)MATH
36.
37.
Zhang, W.W., Gao, F., Liu, B., Wen, Q.Y., Chen, H.: A watermark strategy for quantum images based on quantum Fourier transform. Quant. Inf. Process. 12(2), 793–803 (2013)MathSciNetCrossRefADSMATH
38.
Song, X.H., Wang, S., Liu, S., et al.: A dynamic watermarking scheme for quantum images using quantum wavelet transform. Quant. Inf. Process. 12(12), 3689–3706 (2013)MathSciNetCrossRefADSMATH
39.
Song, X., Wang, S., El-Latif, A.A.A., Niu, X.: Dynamic watermarking scheme for quantum images based on Hadamard transform. Multimed. Syst. 20(4), 379–388 (2014)CrossRef
40.
Miyake, S., Nakamael, K.: A quantum watermarking scheme using simple and small-scale quantum circuits. Quant. Inf. Process. 15, 1849–1864 (2016)MathSciNetCrossRefADSMATH
41.
Heidari, S., Naseri, M.: A novel LSB based quantum watermarking. Int. J. Theor. Phys. 55(10), 1–14 (2016)CrossRefMATH
42.
Tirkel, A.Z., Rankin, G.A., VanSchyndel, R.M et al.: Electronic watermark. In: Proceedings of Digital Image Computing: Techniques and Applications, Macquarie University. 666–672 (1993)
43.
Arnold, V.I., Avez, A.: Ergodic Problems of Classical Mechanics. Benjamin, New York (1968)MATH
44.
45.
Islam, M.S., Rahman, M.M., Begum, Z., et al.: Low cost quantum realization of reversible multiplier circuit. Inf. Technol. J. 8(2), 208–213 (2009)CrossRef
46.
Thapliyal, H., Ranganathan, N.A .: New design of the reversible subtractor circuit. In: 11th IEEE Conference on Nanotechnology (IEEE-NANO), 2011. IEEE. pp. 1430–1435 (2011)
47.
Kotiyal, S., Thapliyal, H., Ranganathan, N.: Circuit for reversible quantum multiplier based on binary tree optimizing ancilla and garbage bits. In: 2014 27th International Conference on VLSI Design and 2014 13th International Conference on Embedded Systems. IEEE. 545–550 (2014)
48.
Weinfurter, H., Smolin, J.A.: Elementary gates for quantum computation. Phys. Rev. A 52, 3457 (1995)CrossRefADS
Metadata
Title
Quantum watermarking scheme through Arnold scrambling and LSB steganography
Authors
Ri-Gui Zhou
Wenwen Hu
Ping Fan
Publication date
01-09-2017
Publisher
Springer US
Published in
Quantum Information Processing / Issue 9/2017
Print ISSN: 1570-0755
Electronic ISSN: 1573-1332
DOI
https://doi.org/10.1007/s11128-017-1640-9

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